Compared to classical automatic text summarization tasks (e.g., single-document or multi-document summarization) which have been comprehensively studied for decades [1]}, dating back to Luhn's work at IBM in the 1950's [2]}, QMDS had received much less attention.
Only in the last 5 to 6 years, have we observed growing interests in QMDS research driven by various CIR and conversational recommendation applications that are being deployed on the devices with no or small screens (e.g., voice search and mobile search) where a concise answer to a query is more desirable than a traditional SERP.
